[1] Cuneyt G Akcora, Asim Kumer Dey, Yulia R Gel, and Murat Kantarcioglu. Forecasting bitcoin price with graph chainlets. In PAKDD, pages 765-776. Springer, 2018.
[2] Cuneyt Gurcan Akcora, Yulia R Gel, and Murat Kantarcioglu. Blockchain networks: Data structures of bitcoin, monero, zcash, ethereum, ripple, and iota. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(1):e1436, 2022.
[3] Leman Akoglu, Pedro OS Vaz de Melo, and Christos Faloutsos. Quantifying reciprocity in large weighted communication networks. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 85–96. Springer, 2012.
[4] Alfonso Allen-Perkins, Juan Manuel Pastor, and Ernesto Estrada. Two-walks degree assortativity in graphs and networks. Applied Mathematics and Computation, 311:262–271, 2017.
[5] Lars Backstrom, Dan Huttenlocher, Jon Kleinberg, and Xiangyang Lan. Group formation in large social networks: membership, growth, and evolution. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 44-54, 2006.
[6] Qianlan Bai, Chao Zhang, Yuedong Xu, Xiaowei Chen, and Xin Wang. Poster: Evolution of ethereum: A temporal graph perspective. In 2020 IFIP Networking Conference (Networking), pages 652-654. IEEE, 2020.
[7] Nicola Barbieri, Francesco Bonchi, and Giuseppe Manco. Who to follow and why: link prediction with explanations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 1266-1275, 2014.
[8] Alex Biryukov and Daniel Feher. Privacy and linkability of mining in zcash. In 2019 IEEE Conference on Communications and Network Security (CNS), pages 118-123. IEEE, 2019.
[9] Andrei Broder, Ravi Kumar, Farzin Maghoul, Prabhakar Raghavan, Sridhar Rajagopalan, Raymie Stata, Andrew Tomkins, and Janet Wiener. Graph structure in the web. Computer networks, 33(1-6):309-320, 2000.
[10] Simone Casale-Brunet, Paolo Ribeca, P Doyle, and Marco Mattavelli. Networks of ethereum non-fungible tokens: a graph-based analysis of the ERC-721 ecosystem. In 2021 IEEE International Conference on Blockchain (Blockchain), pages 188–195. IEEE, 2021.
[11] Ting Chen, Zihao Li, Yuxiao Zhu, Jiachi Chen, Xiapu Luo, John Chi-Shing Lui, Xiaodong Lin, and Xiaosong Zhang. Understanding the Ethereum via graph analysis. ACM Transactions on Internet Technology (TOIT), 20(2):1-32, 2020.
[12] Weili Chen, Tuo Zhang, Zhiguang Chen, Zibin Zheng, and Yutong Lu. Traveling the token world: A graph analysis of ethereum ERC20 token ecosystem. In Proceedings of The Web Conference 2020, pages 1411-1421, 2020.
[13] Sutanay Choudhury, Lawrence Holder, George Chin, Khushbu Agarwal, and John Feo. A selectivity based approach to continuous pattern detection in streaming graphs. arXiv preprint arXiv:1503.00849, 2015.
[14] Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555, 2014.
[15] Michael Defferrard, Xavier Bresson, and Pierre Vandergheynst. Convolutional neural networks on graphs with fast localized spectral filtering. NIPS, 29, 2016.
[16] Peter W Eklund and Roman Beck. Factors that impact blockchain scalability. In Proceedings of the 11th international conference on management of digital ecosystems, pages 126-133, 2019.